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Abstract
For the first time worldwide, innovative techniques, generic non-linear higher-order unnormalized cross-correlations of spectral moduli, for the diagnosis of complex assets, are proposed. The normalization of the proposed techniques is based on the absolute central moments, that have been proposed and widely investigated in mathematical works. The existing higher-order, crosscovariances of complex spectral components are not sufficiently effective. The novel technology is comprehensively experimentally validated for induction motor bearing diagnosis via motor current signals. Experimental results, provided by the proposed technique, confirmed high overall probabilities of correct diagnoses for bearings at early stages of damage development. The proposed diagnosis technology is compared with existing diagnosis technology, based on the triple cross-covariance of complex spectral components.
Citations
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Web of Science
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Authors (3)
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Len Gelman PhD
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Andrew Ball
Cite as
Full text
- Publication version
- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/electronics11233885
- License
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Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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Electronics
no. 11,
ISSN: 2079-9292 - Language:
- English
- Publication year:
- 2022
- Bibliographic description:
- Ciszewski T., Gelman L., Ball A.: Novel Nonlinear High Order Technologies for Damage Diagnosis of Complex Assets// Electronics -,iss. 23 (2022), s.3885-
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/electronics11233885
- Sources of funding:
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- Free publication
- Verified by:
- Gdańsk University of Technology
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